Linked Life Data

15336292

Source:http://linkedlifedata.com/resource/pubmed/id/15336292

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2004-8-31
pubmed:abstractText
Gait analysis studies involve continuous curves of data measured over a gait cycle. Curve analysis and interpretation require adequate statistical methods. Three principal problems may be encountered in clinical practice: (i) the reliability of gait curves for a given patient, (ii) classifying a new subject as belonging to a given population or not and (iii) comparison of two populations (independent or paired). This paper presents three statistical tools for solving these problems: (i) intra-class correlation coefficients, (ii) confidence bands for a population (iii) a combination of analysis of variance and confidence bands for the difference between the means and shows how they can be used in clinical practice.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0966-6362
pubmed:author
pubmed:issnType
Print
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
204-12
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Statistical tools for clinical gait analysis.
pubmed:affiliation
Department of Biostatistics, EA2694, CERIM, Faculté de Médecine, University of Lille, 1 place de Verdun, 59045 Lille, France. a-duhamel@univ-lille2.fr
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't